Proper name to flag that checks if savemem opt was applied

theano/sandbox/scan.py

@@ -609,7 +609,7 @@ def scan(fn,
     info['gpu'] = False
     info['as_while'] = as_while
     info['profile'] = profile
-    info['_scan_merge_visited'] = True
+    info['_scan_savemem_visited'] = True
 
     local_op = scan_op.Scan(inner_inputs, new_outs, info)
 

theano/scan_module/scan_opt.py

@@ -700,7 +700,7 @@ class ScanSaveMem(gof.Optimizer):
             # 3.6 Compose the new scan
             # I need to make sure I'm not reapplying the same optimization
             # twice since bad things usually happen if I do that
-            info['_scan_merge_visited'] = True
+            info['_scan_savemem_visited'] = True
             new_outs = scan_op.Scan(inps,
                                     outs,
                                     info).make_node(*node_ins).outputs
@@ -793,7 +793,7 @@ class ScanSaveMem(gof.Optimizer):
         nodelist = [x for x in env.toposort() if isinstance(x.op,
                                                            scan_op.Scan)]
         for node in nodelist:
-            if not hasattr(node.op, '_scan_merge_visited'):
+            if not hasattr(node.op, '_scan_savemem_visited'):
                 self.process_node(env, node)
 
 # Just before specialize to have the other optimization